We present DiffuScene for indoor 3D scene synthesis based on a novel scene configuration
denoising diffusion model. It generates 3D instance properties stored in an unordered object …

Text-to-image AI are capable of generating novel images for inspiration, but their
applications for 3D design workflows and how designers can build 3D models using AI …

Generating realistic 3D worlds occupied by moving humans has many applications in
games, architecture, and synthetic data creation. But generating such scenes is expensive …

This paper introduces SceneCraft, a Large Language Model (LLM) Agent converting text
descriptions into Blender-executable Python scripts which render complex scenes with up to …

Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …

We address the task of indoor scene generation by generating a sequence of objects, along
with their locations and orientations conditioned on a room layout. Large-scale indoor scene …

Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text
into well-structured and textured indoor scenes at a house-scale. By prompting Large …

Comprehending natural language instructions is a charming property for 3D indoor scene
synthesis systems. Existing methods directly model object joint distributions and express …

Holistic 3D scene understanding entails estimation of both layout configuration and object
geometry in a 3D environment. Recent works have shown advances in 3D scene estimation …

For decades, co-relating different data domains to attain the maximum potential of machines
has driven research, especially in neural networks. Similarly, text and visual data (images …